Open AccessPathway-targeting gene matrix for Drosophila gene set enrichment analysis
Author(s) -
Jack Cheng,
Lee-Fen Hsu,
Ying-Hsu Juan,
Hsin-Ping Liu,
Wei-Yong Lin
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0259201
Subject(s) - kegg , gene expression profiling , gene , gene expression , biology , drosophila melanogaster , computational biology , alternative splicing , rna splicing , ribosome profiling , regulation of gene expression , genetics , bioinformatics , transcriptome , exon , messenger rna , rna , translation (biology)
Gene Set Enrichment Analysis (GSEA) is a powerful algorithm to determine biased pathways between groups based on expression profiling. However, for fruit fly, a popular animal model, gene matrixes for GSEA are unavailable. This study provides the pathway-targeting gene matrixes based on Reactome and KEGG database for fruit fly. An expression profiling containing neurons or glia of fruit fly was used to validate the feasibility of the generated gene matrixes. We validated the gene matrixes and identified characteristic neuronal and glial pathways, including mRNA splicing and endocytosis. In conclusion, we generated and validated the feasibility of Reactome and KEGG gene matrix files, which may benefit future profiling studies using Drosophila.